Triple

T13594867
Position Surface form Disambiguated ID Type / Status
Subject Bud Fox E324790 entity
Predicate betrays P25013 FINISHED
Object Bluestar Airlines E634996 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Bluestar Airlines | Statement: [Bud Fox, betrays, Bluestar Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bluestar Airlines
Context triple: [Bud Fox, betrays, Bluestar Airlines]
  • A. Bluestar Airlines chosen
    Bluestar Airlines is the fictional regional airline featured in the film "Wall Street," central to the storyline involving Carl Fox and corporate takeover schemes.
  • B. Azimuth Airlines
    Azimuth Airlines is a Russian regional airline based in Rostov-on-Don, known for operating domestic and short-haul international routes primarily using Sukhoi Superjet 100 aircraft.
  • C. Sunclass Airlines
    Sunclass Airlines is a Danish leisure airline that primarily operates charter flights from Scandinavia to popular holiday destinations in Europe and beyond.
  • D. Mesa Airlines
    Mesa Airlines is a U.S.-based regional airline that operates feeder flights for major carriers under their brand names.
  • E. Frontier Airlines
    Frontier Airlines is a U.S. ultra-low-cost carrier known for its point-to-point route network, animal-themed aircraft tails, and extensive domestic service.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb057f1c881909a3bb77c659a724a completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bc762a08190b5d29cef9923da84 completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:49 p.m.